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, natural sciences, computing, informatics and computer science. A PhD (or near to completion) or equivalent experience in Biological or Biomedical sciences, Immunology or Bioinformatics High level analytical
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metabolomics and/or proteomics data. Prior wet lab experience with mass spectrometry, analytical chemistry, high-throughput sequencing library preparation, sequencing project planning and troubleshooting
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and Responsibilities: We are seeking a highly self-motivated postdoctoral candidate with experience in cancer research and strong analytical skills in single-cell RNA-seq data. Statistical modeling
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embedded within a diverse and interdisciplinary research environment comprising experienced scientists in toxicology and human health, analytical chemistry, software engineering, statistics, and
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cutting-edge sequencing technologies, such as exome and short- and long-read whole-genome sequencing. The candidate will also benefit from state-of-the-art analytical tools and high-performance computing
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screening using chemoproteomics-based approaches Qualifications Recent Ph.D. or equivalent degree in chemical biology, analytical chemistry, mass spectrometry, or protein biochemistry. Proven ability